NewNew: The enterprise guide to Agentic AI — 24 min read.

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Illustrative, anonymized engagements · Results vary by scope
2026 priorities

The agent programs enterprise leaders are funding right now.

Six agent use cases reflecting where 2026 budgets are moving: agents that take action in systems of record, supervision of an AI workforce, and governance you can put in front of compliance.

A financial services operations team reviewing account servicing and dispute cases at their workstations.
Customer-Facing AI AgentsFinancial ServicesAutonomousAmazon ConnectAmazon Lex

Action-taking voice agent for billing and payments

Payments, disputes in progress and balance actions complete in the voice channel, with clean escalation when policy or risk rules trip.

Workflow
  1. Intake
  2. Act in Core banking
  3. Update Payments
  4. Escalate exceptions
  5. Measured

Transactions completed in channel · 15–25 pt containment lift over answer-only bots

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A team lead coaching an agent on a BPO contact center floor while reviewing a quality dashboard.
Customer-Facing AI AgentsBPOSupervisedGenesys CloudNICE CXone

Control plane for a hybrid human and AI agent workforce

Operations manages AI capacity the way it manages headcount, with per-client reporting clients can audit.

Workflow
  1. Intake
  2. Act in CCaaS routing
  3. Approval gate
  4. Update WFM
  5. Measured

Single capacity view across human and AI agents · cost per contact reported by agent type within 1 quarter

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A health payer operations team reviewing claims and member eligibility on screen together.
Customer-Facing AI AgentsHealth PayersSupervisedFive9NICE CXone

Quality management agent that scores every interaction and routes on it

Sensitive member calls land with agents who score well on that behaviour, and coaching lands while the gap is fresh. Disputed scores and routing changes require a quality-leader review.

Workflow
  1. Intake
  2. Act in Quality management
  3. Approval gate
  4. Update CCaaS routing
  5. Measured

100% scored interactions · quality signals applied to routing within the shift · compliance risk reduced

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Insurance claims handlers reviewing first-notice-of-loss photos and claim files while one adjuster takes a call.
Process & Operations AI AgentsInsuranceSupervisedAWS BedrockKore.ai

RPA replacement agents that call APIs instead of scraping screens

Automations survive vendor releases, and the exception queue becomes the only thing operations watches.

Workflow
  1. Intake
  2. Act in Policy and claims APIs
  3. Approval gate
  4. Update Workflow orchestration
  5. Measured

40–60% lower automation maintenance cost per process · 50%+ fewer break-fix incidents per release

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A nurse coordinator and a patient-access specialist working scheduling and prior authorization queues at a hospital operations desk.
Process & Operations AI AgentsHealthcare ProvidersSupervisedAWS BedrockAzure OpenAI

Audit-grade agent observability and tracing

Agents clear compliance review because each action can be reconstructed, and regressions surface before they reach patients or payers.

Workflow
  1. Intake
  2. Act in Agent runtime
  3. Approval gate
  4. Update Trace store
  5. Measured

100% of cases reconstructable step by step · drift detected before member impact · 30% shorter compliance approval cycle

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A financial services operations team reviewing account servicing and dispute cases at their workstations.
Employee-Facing AI AgentsFinancial ServicesSupervisedSalesforce AgentforceCopilot Studio

Converged IT and HR employee service agent

Employees ask once, and joint journeys such as onboarding or role change complete without manual hand-offs. Pay, leave and privileged-access actions run behind manager or HR approval.

Workflow
  1. Intake
  2. Act in ITSM
  3. Approval gate
  4. Update HRIS
  5. Measured

Single intake for 100% of internal requests · 40–60% fewer cross-team reassignments · 20–30% lower cost per internal case

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Agent pattern: Assistive — drafts and recommends, a person sends. Supervised — acts in your systems behind approval gates. Autonomous — completes the work end to end within policy and escalates exceptions.

18 of 86 agent use cases · page 1 of 2 ·

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A financial services operations team reviewing account servicing and dispute cases at their workstations.
Customer-Facing AI AgentsFinancial ServicesAssistive

Retail banking assist agent for live advisers

Problem. A complex product mix drives inconsistent guidance and long handle times, and new advisers take months to reach proficiency.

Agent design. Assist agent reasons over product, policy and compliance content in real time, proposes next best action, checks the adviser's wording against disclosure rules and writes the wrap summary into CRM.

Outcome. Every adviser answers like the best adviser, with a compliance-checked record of what was said. The adviser reviews and sends every recommendation; nothing reaches the customer unapproved.

Acts in. CRM · Product and policy knowledge · Compliance rules

Workflow
  1. Intake
  2. Draft in CRM
  3. Human sends
  4. Measured
20–30% lower cost per contact · 90%+ auto-summary acceptance · faster adviser proficiency
Works with
NICE CXoneAzure OpenAI
A financial services operations team reviewing account servicing and dispute cases at their workstations.
Customer-Facing AI AgentsFinancial ServicesSupervised

Compliant collections voice agent for early-stage arrears

Problem. Early-stage collections is high-volume, low-margin work where regulatory error is more expensive than the balance recovered.

Agent design. Voice agent works policy-grounded scripts within FDCPA and UDAAP guardrails, takes payments and arrangements inside limits, and hot-transfers on any hardship or dispute signal — every turn logged.

Outcome. More balances resolved per dollar spent, with a complete audit trail for compliance review.

Acts in. Collections platform · Payments · Consent and compliance log

Workflow
  1. Intake
  2. Act in Collections platform
  3. Approval gate
  4. Update Payments
  5. Measured
3–5x right-party contact rate vs. dialer-only · lower cost per dollar collected
Works with
Retell AIAmazon Connect
A financial services operations team reviewing account servicing and dispute cases at their workstations.
Enterprise Agentic AIFinancial ServicesSupervised

KYC refresh agent for commercial banking books

Problem. Periodic refresh across a large customer book is a fixed regulatory cost that scales only by adding analysts.

Agent design. Agents pull entity and ownership data, screen adverse media and sanctions, reconcile discrepancies and produce a refresh packet with a reasoning trace for analyst approval.

Outcome. Analysts approve evidence-backed packets rather than assembling them, and refresh cycles stay inside regulatory windows.

Acts in. CRM · KYC / AML platform · Screening providers

Workflow
  1. Intake
  2. Act in CRM
  3. Approval gate
  4. Update KYC / AML platform
  5. Measured
50% analyst capacity released per refresh case · regulatory cycle met without added headcount
Works with
AWS BedrockSalesforce Agentforce
A financial services operations team reviewing account servicing and dispute cases at their workstations.
AI Agent FoundationsFinancial ServicesAssistive

Knowledge foundation for wealth advisory agents

Problem. Advisory agents stall in pilot because supervision cannot sign off on answers that carry no citation or audit trail.

Agent design. Governed retrieval platform with content connectors, permission-aware indexing, an evaluation harness and citation enforcement — the grounding layer every advisory agent calls.

Outcome. Advisers get cited, supervision-ready answers inside the workstation, so advisory agents clear review and reach production.

Acts in. Research library · Product and policy content · Advisor workstation

Workflow
  1. Intake
  2. Draft in Research library
  3. Human sends
  4. Measured
Cited answers in under 10 seconds · 90%+ of responses carry an approved source
Works with
Azure OpenAI
A financial services operations team reviewing account servicing and dispute cases at their workstations.
Process & Operations AI AgentsFinancial ServicesSupervised

Lending document agent for income, ID and asset review

Problem. Manual document review delays funding, and every day of delay costs pull-through on approved applications.

Agent design. Agent extracts and validates income, identity and asset documents against verification services, scores confidence and routes complete files to underwriting with exceptions flagged.

Outcome. Complete applications reach a decision the same day, with reviewers on exceptions.

Acts in. Loan origination · Document capture · Verification services

Workflow
  1. Intake
  2. Act in Loan origination
  3. Approval gate
  4. Update Document capture
  5. Measured
Time-to-decision from 3–5 days to under 24 hours · 10–15% higher pull-through on approved applications
Works with
Azure OpenAI
A financial services operations team reviewing account servicing and dispute cases at their workstations.
Process & Operations AI AgentsFinancial ServicesAutonomous

Onboarding document agent for KYC intake

Problem. Onboarding friction loses revenue at the front door, but KYC document review cannot be shortcut without regulatory risk.

Agent design. Agent extracts and validates onboarding documents against golden data and screening providers, with confidence thresholds and a full evidence trail per decision.

Outcome. Common document sets clear straight through while risk cases route to compliance. Adverse media, sanctions and document-integrity flags escalate to a compliance analyst.

Acts in. Onboarding platform · KYC / AML screening · Document capture

Workflow
  1. Intake
  2. Act in Onboarding platform
  3. Update KYC / AML screening
  4. Escalate exceptions
  5. Measured
Onboarding cycle time cut by 50%+ · abandonment reduced at the document step
Works with
AWS Bedrock
A financial services operations team reviewing account servicing and dispute cases at their workstations.
Enterprise Agentic AIFinancial ServicesSupervised

HR service agent for policy and onboarding execution

Problem. Repetitive policy, benefits and onboarding questions absorb HR capacity and slow new-hire time to productivity.

Agent design. Kore.ai agent answers from approved HR policy, executes onboarding checklist steps in HRIS and escalates sensitive matters to an HR business partner with context attached.

Outcome. New hires ramp faster and HR specialists handle the cases that need judgement.

Acts in. HRIS · Benefits platform · Onboarding workflow

Workflow
  1. Intake
  2. Act in HRIS
  3. Approval gate
  4. Update Benefits platform
  5. Measured
40% lower HR ticket volume · faster new-hire time to productivity
Works with
Kore.ai
A financial services operations team reviewing account servicing and dispute cases at their workstations.
Customer-Facing AI AgentsFinancial ServicesAutonomous

Transaction-capable banking agent for balances, payments and disputes

Problem. Customers expect to move money and raise disputes digitally, and every routine transaction that reaches a call costs multiples of the digital path.

Agent design. Kore.ai agent authenticates the customer, executes balance, transfer and dispute-initiation transactions through core banking APIs within limits, and routes fraud and complex risk to specialists with context.

Outcome. Everyday banking completes in digital channels while risk cases reach the right team. Fraud, dispute and hardship intents escalate to a human banker with the session context.

Acts in. Core banking · Card and dispute systems · Identity

Workflow
  1. Intake
  2. Act in Core banking
  3. Update Card and dispute systems
  4. Escalate exceptions
  5. Measured
55–70% of routine banking demand completed digitally · lower cost per transaction
Works with
Kore.ai
A financial services operations team reviewing account servicing and dispute cases at their workstations.
Customer-Facing AI AgentsFinancial ServicesSupervised

Collections and payment-plan agent

Problem. Early-stage collections must recover balances without damaging the customer relationship or breaching regulation.

Agent design. Kore.ai voice and digital agent negotiates plans inside policy limits, processes payments and escalates hardship cases to trained specialists, logging every step for compliance.

Outcome. More arrangements set at lower cost with a defensible compliance record.

Acts in. Collections platform · Payments · Compliance log

Workflow
  1. Intake
  2. Act in Collections platform
  3. Approval gate
  4. Update Payments
  5. Measured
3–4x right-party contact rate · 25% higher plan adoption · lower cost per dollar recovered
Works with
Kore.ai
A financial services operations team reviewing account servicing and dispute cases at their workstations.
Enterprise Agentic AIFinancial ServicesSupervised

Fraud dispute and chargeback agent

Problem. Dispute and chargeback SLAs are regulated, and investigator capacity is spent assembling cases rather than deciding them.

Agent design. Kore.ai agent interviews the cardholder, retrieves transaction and device evidence, drafts the dispute package with network reason coding and routes for investigator approval.

Outcome. Investigators decide on complete, pre-assembled cases within regulatory windows.

Acts in. Card and dispute systems · Transaction data · Case management

Workflow
  1. Intake
  2. Act in Card and dispute systems
  3. Approval gate
  4. Update Transaction data
  5. Measured
45% faster case preparation · 30% investigator capacity released · SLA attainment protected
Works with
Kore.ai
A financial services operations team reviewing account servicing and dispute cases at their workstations.
Employee-Facing AI AgentsFinancial ServicesSupervised

IT service desk agent for access, devices and resets

Problem. Password, access and device demand dominates service-desk cost while queued tickets cost the business productive employee hours.

Agent design. Employee agent grounded in IT policy executes the request across IAM, MDM and ITSM rather than answering it, with approval gates on privileged actions and full change logging.

Outcome. Top ticket categories are completed in chat and analysts hold complex incidents.

Acts in. IAM · ITSM · MDM

Workflow
  1. Intake
  2. Act in IAM
  3. Approval gate
  4. Update ITSM
  5. Measured
45–60% self-service completion on targeted journeys · employee hours recovered per month
Works with
Copilot StudioAzure OpenAI
A financial services operations team reviewing account servicing and dispute cases at their workstations.
Employee-Facing AI AgentsFinancial ServicesAssistive

Manager agent for people and approval workflows

Problem. Manager capacity — the layer that drives retention and performance — is consumed by review preparation, approvals and reporting across systems.

Agent design. Agent drafts review inputs from agreed sources, summarizes team data and prepares approval packets, always leaving the decision with the manager.

Outcome. Managers spend the time on coaching, with a consistent evidence trail behind every decision.

Acts in. HRIS · Performance management · Finance approvals

Workflow
  1. Intake
  2. Draft in HRIS
  3. Human sends
  4. Measured
25–40% less admin time per manager cycle · management hours redirected to coaching
Works with
Copilot StudioAzure OpenAI
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